[issue43786] slice(None) is slice(None) is False

Nico Schlömer added the comment: Thanks very much, Steven, for the feedback and the suggestion. -- ___ Python tracker <https://bugs.python.org/issue43

[issue43786] slice(None) is slice(None) is False

New submission from Nico Schlömer : I stumbled upon this when dealing with NumPy arrays: ``` slice(None) is slice(None) ``` ``` False ``` This came up when trying to check if a variable `a` equals `slice(None)`. The comparison ``` a = slice(None) a == slice(None) ``` ``` True ``` works

[issue31415] Add -X option to show import time

Nico Schlömer added the comment: I just updated tuna [1] to support import time profiles as well. Install with ``` pip install tuna ``` and use with ``` python -X importprofile yourfile.py 2> import.log tuna import.log ``` See screenshot for example output. Cheers, Nico [1] https://github.

Re: cProfile, timed call tree

Thanks, Dieter, for the concise answer. Cheers, Nico On Sat, May 26, 2018 at 7:42 AM dieter <die...@handshake.de> wrote: > Nico Schlömer <nico.schloe...@gmail.com> writes: > > > From what I understand about the Python profilers, the type of > information >

cProfile, timed call tree

Hi everyone, >From what I understand about the Python profilers, the type of information you get from a stats object is * How much time was spent in function X, * what the callers and callees of function X are, and * and bunch of meta info about function X. With the program ``` def

[issue29282] Fused multiply-add: proposal to add math.fma()

Nico Schlömer <nico.schloe...@gmail.com> added the comment: Okay, thanks for the info. As a stop-gap measure, I've created pyfma [1, 2]. Install with ``` pip install pyfma ``` and use with ``` pyfma.fma(3.0, 2.0, 1.0) ``` Only works on Unix reliable then, but that's all I care about. :)

[issue29282] Fused multiply-add: proposal to add math.fma()

Nico Schlömer <nico.schloe...@gmail.com> added the comment: > Existing libm implementations don't work, Okay. Is this because of the inf/NaN discrimination hiccups mentioned above or are there any other pitfalls? -- ___ Python tra

[issue29282] Fused multiply-add: proposal to add math.fma()

Nico Schlömer <nico.schloe...@gmail.com> added the comment: Do I read this thread correctly assuming that this hasn't been implemented yet? If not, I would probably make my own little library for this -- I really need the feature for the precision. -- nosy: +n

itertools: problem with nested groupby, list()

Hi, I ran into a bit of an unexpected issue here with itertools, and I need to say that I discovered itertools only recently, so maybe my way of approaching the problem is not what I want to do. Anyway, the problem is the following: I have a list of dictionaries, something like [ { a: 1, b: 1,

Re: itertools: problem with nested groupby, list()

. -- I'll look at Uli's comments. Cheers, Nico On Tue, May 4, 2010 at 1:08 PM, Jon Clements jon...@googlemail.com wrote: On 4 May, 11:10, Nico Schlömer nico.schloe...@gmail.com wrote: Hi, I ran into a bit of an unexpected issue here with itertools, and I need to say that I discovered

Re: itertools: problem with nested groupby, list()

they are called generators) and you should be fine. I'll look into this, thanks for the hint. Cheers, Nico On Tue, May 4, 2010 at 12:46 PM, Ulrich Eckhardt eckha...@satorlaser.com wrote: Nico Schlömer wrote: I ran into a bit of an unexpected issue here with itertools, and I need to say

Re: itertools: problem with nested groupby, list()

: On 4 May, 12:36, Nico Schlömer nico.schloe...@gmail.com wrote: Does this example help at all? Thanks, that clarified things a lot! To make it easier, let's just look at 'a' and 'b': my_list.sort( key=itemgetter('a','b','c') ) for a, a_iter in groupby(my_list, itemgetter('a')):    print